Journal article
Predicting Corrosion Damage in the Human Body Using Artificial Intelligence: In Vitro Progress and Future Applications
The Orthopedic clinics of North America, v 54(2), pp 169-192
Apr 2023
PMID: 36894290
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Artificial intelligence (AI) is used in the clinic to improve patient care. While the successes illustrate AI's impact, few studies have led to improved clinical outcomes. In this review, we focus on how AI models implemented in nonorthopedic fields of corrosion science may apply to the study of orthopedic alloys. We first define and introduce fundamental AI concepts and models, as well as physiologically relevant corrosion damage modes. We then systematically review the corrosion/AI literature. Finally, we identify several AI models that may be implemented to study fretting, crevice, and pitting corrosion of titanium and cobalt chrome alloys.
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Details
- Title
- Predicting Corrosion Damage in the Human Body Using Artificial Intelligence: In Vitro Progress and Future Applications
- Creators
- Michael A Kurtz - Clemson UniversityRuoyu Yang - Clemson UniversityMohan S R Elapolu - Clemson UniversityAudrey C Wessinger - Medical University of South CarolinaWilliam Nelson - Clemson UniversityKazzandra Alaniz - Clemson UniversityRahul Rai - Clemson UniversityJeremy L Gilbert - Clemson University
- Publication Details
- The Orthopedic clinics of North America, v 54(2), pp 169-192
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000951436300001
- Scopus ID
- 2-s2.0-85147281673
- Other Identifier
- 991022038959904721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Orthopedics